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- 28 May 2008
- First Look
First Look: May 28, 2008
practice but that contradicts earlier empirical work in academics. Relevance and Rigor: Executive Education as a Lever in Shaping Practice and Research Authors:Michael L. Tushman, Amy Fenollosa, Dan McGrath, Charles A. O'Reilly, and View Details
Keywords: Martha Lagace
- September 2007
- Article
Relevance and Rigor: Executive Education as a Lever in Shaping Practice and Research
By: Michael L. Tushman, Amy Fenollosa, Dan McGrath, Charles A. O'Reilly and Adam Michael Kleinbaum
As professional schools, business schools aspire to couple research rigor with managerial relevance. There has been, however, a concern that business schools are increasingly uncoupled from practice and that business school research lacks real world relevance. This... View Details
Keywords: Business Education; Executive Education; Learning; Teaching; Management; Practice; Research
Tushman, Michael L., Amy Fenollosa, Dan McGrath, Charles A. O'Reilly, and Adam Michael Kleinbaum. "Relevance and Rigor: Executive Education as a Lever in Shaping Practice and Research." Academy of Management Learning & Education 6, no. 3 (September 2007): 345–365.
- Article
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani
Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details
Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention
Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
- 02 Oct 2013
- What Do You Think?
Is Leadership an Increasingly Difficult Balancing Act?
one with fewer answers? Those were the questions implied by this month's column. The predominance of responses suggested that the answers to the questions are "yes, yes, and maybe." Adam Hartung commented that "As... View Details
Keywords: by James Heskett
- 19 Mar 2019
- First Look
New Research and Ideas, March 19, 2019
Through Open Innovation Competitions By: Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su,... View Details
Keywords: Dina Gerdeman
- 27 Sep 2011
- First Look
First Look: September 27
reach and richness jointly determine the potential value of the network, while receptivity is crucial in realizing that potential. The Dynamics of Social Structure: The Emergence and Decline of Small Worlds Authors:Ranjay Gulati, Maxim Sytch, and View Details
Keywords: Sean Silverthorne
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).